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of 5 898
pro vyhledávání: '"Huang, Shi"'
Accurately estimating scene lighting is critical for applications such as mixed reality. Existing works estimate illumination by generating illumination maps or regressing illumination parameters. However, the method of generating illumination maps h
Externí odkaz:
http://arxiv.org/abs/2404.12768
AT2018cow is the most extensively observed and widely studied fast blue optical transient to date; its unique observational properties challenge all existing standard models. In this paper, we model the luminosity evolution of the optical, soft X-ray
Externí odkaz:
http://arxiv.org/abs/2402.15067
Depth completion, aiming to predict dense depth maps from sparse depth measurements, plays a crucial role in many computer vision related applications. Deep learning approaches have demonstrated overwhelming success in this task. However, high-precis
Externí odkaz:
http://arxiv.org/abs/2312.15263
Reconstructing 3D objects from extremely sparse views is a long-standing and challenging problem. While recent techniques employ image diffusion models for generating plausible images at novel viewpoints or for distilling pre-trained diffusion priors
Externí odkaz:
http://arxiv.org/abs/2308.14078
The recent neural surface reconstruction by volume rendering approaches have made much progress by achieving impressive surface reconstruction quality, but are still limited to dense and highly accurate posed views. To overcome such drawbacks, this p
Externí odkaz:
http://arxiv.org/abs/2307.05892
Autor:
Huang, Shi-Yu, Yang, Yun-Chen, Su, Yu-Ru, Lai, Bo-Cheng, Duarte, Javier, Hauck, Scott, Hsu, Shih-Chieh, Hu, Jin-Xuan, Neubauer, Mark S.
In-time particle trajectory reconstruction in the Large Hadron Collider is challenging due to the high collision rate and numerous particle hits. Using GNN (Graph Neural Network) on FPGA has enabled superior accuracy with flexible trajectory classifi
Externí odkaz:
http://arxiv.org/abs/2306.11330
Autor:
Xiang, Kang, Huang, Shi, Song, Hongyuan, Bazhenov, Vasilii, Bellucci, Valerio, Birnsteinova, Sarlota, de Wijn, Raphael, Koliyadu, Jayanath C. P., Koua, Faisal H. M., Round, Adam, Round, Ekaterina, Sarma, Abhisakh, Sato, Tokushi, Sikorski, Marcin, Zhang, Yuhe, Asimakopoulou, Eleni Myrto, Villanueva-Perez, Pablo, Porfyrakis, Kyriakos, Tzanakis, Iakovos, Eskin, Dmitry G., Grobert, Nicole, Mancuso, Adrian, Bean, Richard, Vagovic, Patrik, Mi, Jiawei
Ultrasonic liquid phase exfoliation is a promising method for the production of two-dimensional (2D) layered materials. A large number of studies have been made in investigating the underlying ultrasound exfoliation mechanisms. However, due to the ex
Externí odkaz:
http://arxiv.org/abs/2305.08538
We report a pore-scale numerical study of salt finger convection in porous media, with a focus on the influence of the porosity in the non-Darcy regime, which has received little attention in previous research. The numerical model is based on the lat
Externí odkaz:
http://arxiv.org/abs/2304.04034
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 2, Pp 74-82 (2024)
The pupose of this review was to explore the application of machine learning in the realm of flavor molecule research, particularly in the analysis of the flavor of Jasmine tea. The study of flavor molecules is fundamental to understand and optimize
Externí odkaz:
https://doaj.org/article/404346473c544501b27b286a9420d930
Publikováno v:
Jichu yixue yu linchuang, Vol 44, Iss 2, Pp 204-209 (2024)
Objective To determine whether four-and-a-half LIM-only protein 2(FHL2) can affect macrophage foaming by regulating nuclear factor kappa-B(NF-κB) signaling pathway. Methods FHL2 over-expression plasmids and siRNA of FHL2 were constructed and transfe
Externí odkaz:
https://doaj.org/article/c96eaded39504dbe88e20af8608d8ec3